Ann Regression. The results show that regression and ANN models have reduced the minimum Ra value of real experimental data by about 157 and 105 respectively. Till now we have only done the classification based prediction.
If you want to do regression remove metricsaccuracy. In this post I am going to show you how to implement a Deep Learning ANN for a Regression use case. The Regression MPL can be represented as below.
Let us see that it perfectly fit the description we gave above.
What if one or multiple cells of the ANN have been corrupted. You can check the data cleansing and feature selection steps there. ANN is just an algorithm to build an efficient predictive model. The ANN used five factors selected by Principal Component Analysis which was used as input data for the ANN calculation.
